Shivam Rana TrigonaMinima

1. 52°North Initiative for Geospatial Open Source Software GmbH (Applying)

No. of proj accepted - 6
difficulty level/Desc - Difficult (GeoInformation stuff)
tags - geo , geospatial , java , gis , spatiotemporal , geoprocessing , traffic , environment , R , R-project , earth observation , geoprocessing , spatial data , geostatistics , sensor web , search , mobile , eventing , database
ideas - SPARQL endpoint and InterOperability for EnviroCar data Social Driving Stats

How to use

Login to https://web.telegram.org
Copy-paste contents of telegram-scripts.js into JS console
Run showContacts() to get the list of contacts with ids
Run saveChat(userId) where userId is the id from step 3

Process can take a while, check console for progress. Occasionall FLOOD_WAIT errors are expected. Once done, browser will download the JSON file.

Motivation

Taken from: https://www.nature.com/naturejobs/science/articles/10.1038/nj7322-467a

A couple of months ago, I received a letter informing me that my fellowship application had failed. On the same day, Brazil's World Cup squad announced that football phenomenon Ronaldinho had not been selected. “Cool,” I thought. “I am like Ronaldinho.” But that thought offered only little consolation. No scientist enjoys such failures, but too often we hide them.

In a way, a fellowship rejection is to be expected. Most of these fellowships have success rates of about 15%, meaning that an applicant might be successful in only one out of every seven tries. For every hour I've spent working on a successful proposal, I've spent six hours working on ones that will be rejected. I don't mind the extra work — after all, if I abhorred tedious tasks with low chances of success, I would not be in research.

Even so, this means that for every endorsement, there are about six challenges to my ability, my determination and my visi

🖥️ See Demo

3.5 fps, Paperwhite 3
@adtac_

step 1: jailbreak your Kindle

mobileread.com is your best resource here, follow the instructions from the LanguageBreak thread

I didn't really follow the LanguageBreak instructions because I didn't care about most of the features + I was curious to do it myself, but the LanguageBreak github repo was invaluable for debugging

	alias happendToFile='hdfs dfs -appendToFile'
	alias hcat='hdfs dfs -cat'
	alias hchecksum='hdfs dfs -checksum'
	alias hchgrp='hdfs dfs -chgrp'
	alias hchmod='hdfs dfs -chmod'
	alias hchown='hdfs dfs -chown'
	alias hcopyFromLocal='hdfs dfs -copyFromLocal'
	alias hcopyToLocal='hdfs dfs -copyToLocal'
	alias hcount='hdfs dfs -count'
	alias hcp='hdfs dfs -cp'

	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib.patches as pch
	import matplotlib.image as img

	def create_normalized_pitch(size=(12.5, 8.0), pcolor='none', ecolor='black'):
	"""
	Create figure that has football pitch lines drawn on it. Figure coordinates are normalized to a 100x100 grid.

	If aspect ratio of figure is not equal to 1.5625 (12.5 in / 8.0 in), the figure width is

	# Copyright 2019 Google LLC.
	# SPDX-License-Identifier: Apache-2.0

	# Author: Anton Mikhailov

	turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913